Coffee Break Data Science
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Coffee Break Data Science

About the Bundle

Fear of missing out on data science and machine learning?

This ​eBook bundle ​gives you a fun way to start learning data science with Python. ​It gives you a thorough introduction Python's most important libraries for data science: NumPy and Pandas. 100% Based on puzzle-based learning - scientifically proven to generate ​44% better learning retention and ​efficiency.​

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About the Books

Coffee Break NumPy

A Simple Road to Data Science Mastery That Fits Into Your Busy Life
  • 283

    Readers

  • 226

    Pages

  • 100%

    Complete

  • PDF

  • EPUB

Do ​​​​you want to learn ​​data science 44% faster?

​The new textbook Coffee Break NumPy leverages the scientifically proven way of puzzle-based learning to code!

"Students who were quizzed after studying a short text could recall significantly more information than students who were asked to reread it" (Karpicke, 2007b)

Fear of missing out on data science and machine learning?​ The trend of automation is not coming to a halt soon. Machines take over more and more traditional jobs from human workers.

But also highly-skilled knowledge workers such as doctors, traditional computer scientists, teachers, and financial analysts are under the danger to be replaced by machines.

This is the era of machine learning and data science.

And missing out on data science can be the #1 most costly mistake of your career.

​But you're in luck: this ​eBook package ​gives you a fun way to start learning data science with Python. ​It gives you a thorough introduction in one of Python's most important libraries for data science and machine learning: NumPy

​​I ​have written the book on the basis of the proven method of solving practical code puzzles and practice testing -- to make learning more fun, faster, and smarter.

And here's the best thing: practice testing is scientifically proven to generate ​up to 44% better learning retention and ​efficiency.​

So what's in it for you?

  • ​Understand ​NumPy code ​quickly.
  • Learn all the basic ​NumPy concepts and data structures.
  • Finally understand ​the most important NumPy functions and how to use them for practical problems.

As an additional bonus, you ​can track your individual ​NumPy coding skill level throughout the book. After reading the book, you'll know exactly how good you are in comparison to your ​friends and colleagues.

To get the most out of this book, you should ​know the basics of Python — e.g., you have already ​read ​my previous book "Coffee Break Python".

The book is packed with 211 pages of in-depth NumPy content:

  • ​4​6 educative code puzzles to test your skills and to make learning easy and fun!
  • ​10 tips for efficient learning​ to help you stop wasting time!
  • ​​1 NumPy cheat sheets to learn 80% of the language features in 20% of the space!
  • ​1 accurate way to measure your coding skills because clarity is the first step to success!
  • ​​[BONUS] 1 detailed NumPy ​tutorial for absolute beginners ​to get you started!

Have your "Coffee Break NumPy" now! ;)

Chris C.
Pepe

2 reader testimonials

Coffee Break Pandas

74 Pandas Puzzles to Build Your Pandas Data Science Superpower
  • 65

    Readers

  • 156

    Pages

  • 100%

    Complete

  • PDF

Data is the new oil -- whoever develops the skills to harvest this largely untapped asset class will increase their value in the 21st-century marketplace.

  • Computers and sensors create ever-growing data sets that become increasingly relevant in every part of our lives.
  • Smartphones collect billions of GPS traces that reveal valuable information towards new mobility solutions and truly smart cities.
  • Smartwatches track the heart rates of millions of people to detect health problems and prevent unnecessary deaths.
  • Intelligent cars collect myriads of sample data points that increase traffic efficiency, prevent millions of car accidents, and save humanity hundreds of millions of hours in traffic jams.

Due to Moore's Law -- the number of transistors on a microchip doubles roughly every two years -- it became financially viable to store, process, and analyze hundreds of terabytes of data.

By reading this book, you'll learn the powerful skill of analyzing and processing data with Python's Pandas framework.

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